A fuzzy logic based clustering strategy for improving vehicular ad-hoc network performance

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dc.contributor.authorÇalhan, Ali
dc.date.accessioned2020-04-30T22:38:40Z
dc.date.available2020-04-30T22:38:40Z
dc.date.issued2015
dc.departmentDÜ, Teknoloji Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.descriptionWOS: 000354955600003en_US
dc.description.abstractThis paper aims to improve the clustering of vehicles by using fuzzy logic in Vehicular Ad-Hoc Networks (VANETs) for making the network more robust and scalable. High mobility and scalability are two vital topics to be considered while providing efficient and reliable communication in VANETs. Clustering is of crucial significance in order to cope with the dynamic features of the VANET topologies. Plenty of parameters related to user preferences, network conditions and application requirements such as speed of mobile nodes, distance to cluster head, data rate and signal strength must be evaluated in the cluster head selection process together with the direction parameter for highly dynamic VANET structures. The prominent parameters speed, acceleration, distance and direction information are taken into account as inputs of the proposed cluster head selection algorithm. The simulation results show that developed fuzzy logic (FL) based cluster head selection algorithm (CHSA) has stable performance in various scenarios in VANETs. This study has also shown that the developed CHSA(FL) satisfies well the highly demanding requirements of both low speed and high speed vehicles on two-way multilane highway.en_US
dc.identifier.doi10.1007/s12046-014-0315-9en_US
dc.identifier.endpage367en_US
dc.identifier.issn0256-2499
dc.identifier.issn0973-7677
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage351en_US
dc.identifier.urihttps://doi.org/10.1007/s12046-014-0315-9
dc.identifier.urihttps://hdl.handle.net/20.500.12684/2354
dc.identifier.volume40en_US
dc.identifier.wosWOS:000354955600003en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Indiaen_US
dc.relation.ispartofSadhana-Academy Proceedings In Engineering Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectVehicular ad-hoc networksen_US
dc.subjectfuzzy logicen_US
dc.subjectclusteringen_US
dc.titleA fuzzy logic based clustering strategy for improving vehicular ad-hoc network performanceen_US
dc.typeArticleen_US

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